Flexibly regularized mixture models and application to image segmentation.
Jonathan VacherClaire LaunayRuben Coen CagliPublished in: Neural Networks (2022)
Keyphrases
- mixture model
- application to image segmentation
- em algorithm
- generative model
- probabilistic model
- gaussian mixture model
- probabilistic graphical models
- density estimation
- model selection
- expectation maximization
- language model
- unsupervised learning
- least squares
- maximum likelihood
- parameter estimation
- graphical models
- mixture modeling
- probability density function
- hidden variables
- markov random field